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Record W4220692752 · doi:10.1107/s2414314622002498

Tetra-μ-acetato-κ<sup>8</sup> <i>O</i>:<i>O</i>′-bis[(3-chloropyridine-κ<i>N</i>)ruthenium(II,III)](<i>Ru</i>—<i>Ru</i>) hexafluoridophosphate 1,2-dichloroethane monosolvate

2022· article· en· W4220692752 on OpenAlexafffund
Anthony J. Aquino, Daniel Gerrior, T. Stanley Cameron, Katherine N. Robertson, M.A.S. Aquino

Bibliographic record

VenueIUCrData · 2022
Typearticle
Languageen
FieldMedicine
TopicMetal complexes synthesis and properties
Canadian institutionsSaint Mary's UniversityDalhousie UniversitySt. Francis Xavier University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRutheniumChemistry1,2-DichloroethaneCrystal structureMedicinal chemistryDichloroethaneTetraInorganic chemistryCrystallographyOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

The title compound, [Ru 2 (μ-O 2 CCH 3 ) 4 (C 5 H 4 ClN) 2 ]PF 6 ·C 2 H 4 Cl 2 , was obtained via a rapid substitution reaction of 3-chloropyridine for water in [Ru 2 (μ-O 2 CCH 3 ) 4 (H 2 O) 2 ]PF 6 in 2-propanol and subsequent crystallization from a dichloroethane solution. The cationic diruthenium(II,III) tetraacetate core lies on a crystallographic inversion center with Ru—Ru and Ru—N bond lengths of 2.2738 (3) and 2.2920 (17) Å, respectively. The Ru—Ru—N bond angle is close to linear at 176.48 (4)°, and a significant π-stacking interaction of 3.5649 (16) Å is seen between overlapping pyridine rings of adjacent cations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.462
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0020.003
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0100.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.250
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes2
Has abstractyes

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